302_custom_mcp

Name: 302_custom_mcp
Author: 302ai

@302ai

Repository

About 302_custom_mcp

在302后台自选Tools，快速生成定制的MCP Server。

#custom-mcp #server #302ai

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "302ai-custom-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@302ai/custom-mcp"
      ],
      "env": {
        "302AI_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is 302_custom_mcp?

302_custom_mcp is a Model Context Protocol (MCP) server that integrates the 302AI API with Claude Desktop. It allows Claude to interact with 302AI services through custom tools. The server is intended for developers who already use the 302AI platform and want to extend Claude’s capabilities.

How to use 302_custom_mcp?

Install dependencies with npm install, then build the server with npm run build (or use npm run watch for auto-rebuild). To use with Claude Desktop, add the server configuration to claude_desktop_config.json (MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json; Windows: %APPDATA%/Claude/claude_desktop_config.json). Set the command to npx -y @302ai/custom-mcp and provide your 302AI_API_KEY in the env field.

Key features of 302_custom_mcp

Integrates 302AI API with Claude Desktop
Uses npx for zero‑install execution
Supports MCP stdio transport
Requires API‑key authentication
Provides debugging via MCP Inspector

Use cases of 302_custom_mcp

Enabling Claude to access 302AI services
Building custom AI‑powered workflows with 302AI
Experimenting with the Model Context Protocol using a real API

FAQ from 302_custom_mcp

How do I install and configure 302_custom_mcp?

Install dependencies with npm install, build with npm run build, then add the server config to Claude Desktop’s claude_desktop_config.json file. Use the provided JSON snippet with your 302AI API key.

Where can I get my 302AI_API_KEY?

You can obtain your API key from the 302AI dashboard: https://dash.302.ai/apis/list.

How do I debug the server?

Because MCP servers communicate over stdio, debugging is tricky. Use the MCP Inspector by running npm run inspector; it will provide a URL with debugging tools.

What system dependencies are required?

Node.js and npm are required to build and run the server. No other external services or runtimes are mentioned in the README.

How does the server communicate with Claude Desktop?

The server uses the MCP protocol over standard input/output (stdio). Claude Desktop starts the server as a subprocess and communicates via stdin/stdout.

Comments

More Other MCP servers

Reactive Resume

amruthpillai

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

39.5K

Peekaboo MCP – lightning-fast macOS screenshots for AI agents

steipete

Peekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.

4.8K